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Mechanisms of age-related navigational decline
Secondary Supervisor(s): Dr Craig Hedge, Prof Andrew Schofield
University of Registration: Aston University
BBSRC Research Themes:
- Integrated Understanding of Health (Ageing)
Project Outline
Our ability to navigate is among the first cognitive functions to deteriorate in healthy ageing (van der Ham & Claessen, 2020), and this typically coincides with drops in autonomy, social participation, and perceived quality of life (Lester et al., 2017), reflecting that navigation is a key component of many everyday tasks (e.g., shopping, commuting, socialising). Whilst age-related declines in navigation are well-documented, age in and of itself is not a physiological or psychological variable. This PhD will therefore strive understand the mechanisms that explain age-related navigational decline, and uncover why navigational abilities are susceptible to ageing.
The studies conducted during the PhD will approach explaining navigational decline in healthy ageing from both a neural and cognitive perspective. Using EEG, the student will examine if variations in neural activity (e.g., theta) explain the link between age and navigation, and whether estimates of brain-age taken from neural recordings are a better predictor of navigation performance than a person's chronological age (Lithfous et al., 2018; James & Burgess, 2025). Using behavioural studies, the student will investigate how decline in the complex array of cognitive abilities that support navigational behaviour (Wolbers & Hegarty, 2010) impact navigation performance across the lifespan. Within this strand of work, the student may also investigate if different environmental features (e.g., the presence or absence of orienting landmarks) modify the cognitive abilities that support navigation, and determine if some environments become harder to navigate as we get older.
During the project the student will gain experience in laboratory (EEG and behavioural) and online (behavioural) testing. They will also develop high-level statistical (e.g., structural equation modelling) and writing (e.g., for journal publications) skills, setting them up for a career in science.